🧙‍♂️ AI CLI Toolkit Wizard 🛠️

Welcome to AI_CLI_Toolkit_Wizard! This powerful set of command-line interface (CLI) tools is designed to streamline your AI model management and processing workflow. From model conversion to training, and from keystroke automation to Hugging Face Hub integration, we've got you covered! 🚀

The AI CLI Toolkit Wizard is a comprehensive suite of tools that wraps around various AI-related CLIs, providing a unified and user-friendly interface for managing your AI models and workflows. It's designed to simplify complex tasks and improve productivity for AI researchers and developers.

📚 Table of Contents

• Installation
• Features
• Usage
  • Wizard CLI
  • Gradio Interface
  • Hugging Face Hub Access
  • LlamaCpp GGUF Conversion
  • Unsloth Training
  • Keystroke Macros
• Future Modules
• Contributing
• License

🔧 Installation

0. Create a folder structure on your largest HDD or SDD for our model bank, replicate the following structure or atleast put everything we say in the model_git. Note: model_git can be any folder name thats a valid name, the code path is not specific to the model_git name.

   D: or other Drive or linux home/git/model_git/
   

1. Clone the repository into your model_git folder as model_git/AI_CLI_Toolkit_Wizard:

   git clone https://github.com/Leoleojames1/AI_CLI_Toolkit_Wizard.git
   

2. Set up Miniconda (if not already installed):

   • Download and install Miniconda from here
   • Create a new environment:

     conda create -n CLI_Toolkit python=3.11
     conda activate CLI_Toolkit
     

3. Install required packages in your model_git folder, to wrap and manage models:

   cd AI_CLI_Toolkit_Wizard
   pip install -r requirements.txt
   

4. Now install required llama.cpp in your model_git folder, to work with the CLI:

   git clone https://github.com/ggerganov/llama.cpp.git
   

✨ Features

• 🔄 LlamaCpp GGUF Conversion: Convert models to GGUF format for optimized inference
• 🦥 Unsloth Training: Fine-tune your models with ease
• ⌨️ Keystroke Macros: Automate repetitive tasks
• 🤗 Hugging Face Hub Access: Seamlessly interact with the Hugging Face ecosystem
• 🧙‍♂️ Wizard CLI: A user-friendly interface to access all tools
• 🌐 Gradio Web Interface: Access tools through an intuitive web-based GUI

🚀 Usage

Wizard CLI

The Wizard CLI is your gateway to all the tools. Run it with:

python CLI_wizard.py interactive

Follow the interactive prompts to access different features.

Gradio Interface

Launch the Gradio web interface for a more visual interaction:

python CLI_wizard.py gradio

This will start a local web server, and you can access the interface through your browser. The Gradio interface provides easy-to-use forms and buttons for each tool, making it accessible even for those less comfortable with command-line interfaces.

Hugging Face Hub Access

Interact with Hugging Face Hub:

python HF_CLI.py pull --model_name "bert-base-uncased"
python HF_CLI.py push --local_path "./my_model" --repo_name "my-username/my-model"

LlamaCpp GGUF Conversion

Convert models to GGUF format:

python llamacpp_tools_CLI.py convert --input_dir /path/to/model --model_name model_name --output_dir /path/to/output --quant_type q8_0

Unsloth Training

Fine-tune your models:

python unsloth-cli-2.py train --model_name "your_model_path" --train_dataset "train.parquet" --output_dir "outputs"

Keystroke Macros

Create and run keystroke macros:

python Keystrokes_CLI.py create "my_macro" --actions "mouse_move 100 100" "key_press a"
python Keystrokes_CLI.py execute "my_macro"

🔮 Future Modules

We're constantly working to expand AI_CLI_Toolkit_Wizard. Here are some exciting modules we plan to add in the future:

• 🤖 Autotrainer: Automated model training pipeline
• 🪓 Axolotl: Advanced model fine-tuning
• 🔧 PEFT: Parameter-Efficient Fine-Tuning
• 🏋️ TRL: Transformer Reinforcement Learning
• 🎓 SFT: Supervised Fine-Tuning
• 🦥 Lazy Merge Kit: Effortless model merging
• 🐼 Pandas Datasets: Enhanced dataset management
• 🐟 Coqui/Whisper Streaming: Real-time speech recognition
• 🎵 Musetalk: Music generation and analysis
• 🦙 Ollama LLM Chatbot: Local LLM-powered chatbot
• 🕵️ Ollama LLM Research Agent: AI-assisted research tool
• 👥 CrewAI: Multi-agent AI systems
• 📊 TensorBoard: Enhanced model visualization
• 🎨 Stable Diffusion 3: Next-gen image generation
• 🌊 Cascade: Advanced image processing
• 🖼️ Stable Diffusion LoRA: Fine-tuning for image generation models

Stay tuned for these exciting additions! 🌟

🤝 Contributing

We welcome contributions! If you have ideas for improvements or new features, please open an issue or submit a pull request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

---

Happy AI tooling! If you have any questions or need assistance, don't hesitate to reach out. 🚀🧙‍♂️